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Lithological Facies Classification Using Attention-Based Gated Recurrent Unit

Tsinghua Science and technology 2024年第4期29卷 1206-1218页

作者： Yuwen Liu Yulan zhang Xingyuan Mao Xucheng Zhou Jingwen Chang Wenwei wang Pan wang Lianyong Qi College of Computer Science and technology China University of Petroleum(East China)Qingdao 266580China Shandong Provincial university Laboratory for Protected Horticulture Weifang University of Science and TechnologyShouguang 262700China school of Mechanical Electrical and Information EngineeringShandong UniversityWeihai 264209China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of JinanJinan 250022China school of Modern Posts Nanjing University of Posts and TelecommunicationsNanjing 210023China

Lithological facies classification is a pivotal task in petroleum geology, underpinning reservoir characterization and influencing decision-making in exploration and production operations. Traditional classification methods, such as support vector machines and Gaussian process classifiers, often struggle with the complexity and nonlinearity of geological data, leading to suboptimal performance. Moreover, numerous prevalent approaches fail to adequately consider the inherent dependencies in the sequence of measurements from adjacent depths in a well. A novel approach leveraging an attention-based gated recurrent unit (AGRU) model is introduced in this paper to address these challenges. The AGRU model excels by exploiting the sequential nature of well-log data and capturing long-range dependencies through an attention mechanism. This model enables a flexible and context-dependent weighting of different parts of the sequence, enhancing the discernment of key features for classification. The proposed method was validated on two publicly available datasets. Results demonstrate a considerably improvement over traditional methods. Specifically, the AGRU model achieved superior performance metrics considering precision, recall, and F1-score.

关键词： attention mechanism facies classification GRU MLP(multilayer perceptron)

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Characteristic Study of Self-Powered Sensors Based on Native Protein Composite Film

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Energy & Environmental Materials 2024年第1期7卷 222-228页

作者： Jiehui Xue Huijing Xiang Yanrong zhang Jun Yang Xia Cao Zhonglin wang Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of SciencesBeijing 101400China school of Resources Environment and MaterialsSchool of PhysicsScience and TechnologyCenter on Nanoenergy ResearchGuangxi UniversityNanning 530004China Center for Green Innovation School of Mathematics and PhysicsUniversity of Science and Technology BeijingBeijing 100083China Research Centre of information technology Shenzhen Institute of Information TechnologyShenzhen 518172China school of Chemistry and Biological engineering University of Science and Technology BeijingBeijing 100083China school of Materials Science and engineering Georgia Institute of TechnologyAtlanta GA 30332-0245USA

Flexible electronic sensors composed of flexible film and conductive materials play an increasingly important role in wearable and internet information *** has received more and more attention and made some progress over the ***,it is still a great challenge to prepare biocompatible and highly transparent conductive *** white is a pure natural protein-rich *** cellulose has a good compatibility and high transparency,which is an ideal material for flexible ***,we overcome the problem of poor mechanical flexibility and electrical conductivity of protein,and develop a high transparency and good flexibility hydroxypropylmethyl cellulose/egg white protein composite membrane-based triboelectric nanogenerator('X'-TENG).The experimental results show that the flexible pressure sensor based on'X'-TENG has a high sensitivity,fast response speed,and low detection *** can even be used as a touch/pressure sensing artificial electronic *** can also be made into an intelligent waffle keyboard for recording and tracking users of the *** strategy may provide a new way to easily build flexible electronic sensors and move toward practical applications.

关键词： flexible sensors intelligent sensing natural protein-rich material triboelectric nanogenerators

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Self-assembled S-scheme In_(2.77)S_(4)/K^(+)-doped g-C_(3)N_(4)photocatalyst with selective O_(2.reduction pathway for efficient H_(2.O_(2.production using water and air

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Chinese Journal of Catalysis 2024年第8期63卷 176-189页

作者： Qiqi zhang Hui Miao Jun wang {2. Sun Enzhou Liu school of Chemical engineering/Xi’an Key Laboratory of Special Energy Materials Northwest UniversityXi’an 710127ShaanxiChina school of Physics Northwest UniversityXi’an 710127ShaanxiChina school of electrical{2. and Automation Wuhan UniversityWuhan 430072HubeiChina

The development of an efficient artificial H_(2.O_(2.photosynthesis system is a challenging work using H_(2.O and O_(2.as starting ***,3D In2.77S_(4)nanoflower precursor was in-situ deposited on K^(+)-doped g-C_(3)N_(4)(KCN)nanosheets using a solvothermal method,then In2.77S_(4)/KCN(IS/KCN)het-erojunction with an intimate interface was obtained after a calcination *** investigation shows that the photocatalytic H_(2.O_(2.production rate of 50IS/KCN can reach up to 1.36 mmol g^(-1)h^(-1)without any sacrificial reagents under visible light irradiation,which is 9.2.times and 4.1 times higher than that of KCN and In2.77S_(4),*** enhanced activity of the above composite can be mainly attributed to the S-scheme charge transfer route between KCN and In2.77S_(4)according to density functional theory calculations,electron paramagnetic resonance and free radical capture tests,leading to an expanded light response range and rapid charge separation at their interface,as well as preserving the active electrons and holes for H_(2.O_(2.***,the unique 3D nanostructure and surface hydrophobicity of IS/KCN facilitate the diffusion and transportation of O_(2.around the active centers,the energy barriers of O_(2.protonation and H_(2.O_(2.desorption steps are ef-fectively reduced over the *** addition,this system also exhibits excellent light harvesting ability and *** work provides a potential strategy to explore a sustainable H_(2.O_(2.photo-synthesis pathway through the design of heterojunctions with intimate interfaces and desired reac-tion thermodynamics and kinetics.

关键词： Photocatalysis H_(2.O_(2.production K^(+)-doped g-C3N4 In2.77S4 S-scheme heterojunction

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A grapefruit microstructure fiber temperature sensor coated with liquid crystal based on waist-enlarged taper

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Optoelectronics Letters 2024年第3期20卷 142-146页

作者： wang Feng LI Jiaxuan zhang Rongjing FU Xinghu College of Mechanical and electrical engineering Hebei Normal University of Science&TechnologyQinhuangdao 066004China school of information Science and{2. Key Laboratory for Special Fiber and Fiber Sensor of Hebei ProvinceYanshan UniversityQinhuangdao 066004China

In this paper, a grapefruit microstructure fiber(GMF) temperature sensor coated with liquid crystal(LC) based on waist-enlarged taper is proposed and fabricated, and its temperature sensing characteristics are analyzed. The waist-enlarged taper is formed at the fusion point between single mode fiber(SMF) and GMF. The capillary glass tube is sleeved outside GMF, LC is filled into the capillary glass tube, and its two ends are finally sealed to form a sensor. The experimental results show that when the length of GMF is 2.5 cm, the temperature sensitivity of the sensor can reach up to 195.3 pm/℃ in the range of 30-90℃, and it has a good stability for reuse. Thereby, it can be used in biochemical, industrial production and other temperature detection areas.

关键词： capillary fiber microstructure

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Model reduction of fractional impedance spectra for time–frequency analysis of batteries, fuel cells, and supercapacitors

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Carbon Energy 2024年第1期6卷 108-141页

作者： Weiheng Li Qiu-An Huang Yuxuan Bai Jia wang Linlin wang Yuyu Liu Yufeng Zhao Xifei Li Jiujun {2. Institute for Sustainable Energy/College of Sciences Shanghai UniversityShanghaiChina Shanxi Key Laboratory of Nanomaterials and Nanotechnology School of Mechanical and Electrical EngineeringXi'an University of Architecture and TechnologyXi'anShaanxiChina Xi'an Key Laboratory of New Energy Materials and Devices School of Materials Science and EngineeringInstitute of Advanced Electrochemical EnergyXi'an University of TechnologyXi'anShaanxiChina

Joint time–frequency analysis is an emerging method for interpreting the underlying physics in fuel cells,batteries,and *** increase the reliability of time–frequency analysis,a theoretical correlation between frequency-domain stationary analysis and time-domain transient analysis is urgently *** present work formularizes a thorough model reduction of fractional impedance spectra for electrochemical energy devices involving not only the model reduction from fractional-order models to integer-order models and from high-to low-order RC circuits but also insight into the evolution of the characteristic time constants during the whole reduction *** following work has been carried out:(i)the model-reduction theory is addressed for typical Warburg elements and RC circuits based on the continued fraction expansion theory and the response error minimization technique,respectively;(ii)the order effect on the model reduction of typical Warburg elements is quantitatively evaluated by time–frequency analysis;(iii)the results of time–frequency analysis are confirmed to be useful to determine the reduction order in terms of the kinetic information needed to be captured;and(iv)the results of time–frequency analysis are validated for the model reduction of fractional impedance spectra for lithium-ion batteries,supercapacitors,and solid oxide fuel *** turn,the numerical validation has demonstrated the powerful function of the joint time–frequency *** thorough model reduction of fractional impedance spectra addressed in the present work not only clarifies the relationship between time-domain transient analysis and frequency-domain stationary analysis but also enhances the reliability of the joint time–frequency analysis for electrochemical energy devices.

关键词： battery,fuel cell,supercapacitor fractional impedance spectroscopy model reduction time-frequency analysis

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Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng wang Chaojun Ouyang Min Chen Chenying Liu Jin {2. Long Yu Fei wang Yong Xie Jun Li Fang wang Sabine Grunwald Bryan MWong Fan {2. Zhen Qian Yongjun Xu Chengqing Yu Wei Han tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai {2. Husi Letu Bing {2. Li wang Lei Luo Chong Shi Hongjun Su Hongsheng {2. Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu wang Yinyi Lin Tangtang {2. Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao {2. Jiancheng Shi Lizhe wang Aerospace information Research Institute Chinese Academy of SciencesBeijing 100094China school of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing technology Chinese Academy of SciencesBeijing 100190China school of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China school of Environmental Science and engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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Layer-by-layer epitaxy growth of thickness-controllable two-dimensional tungsten disulfide

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Science China(information Sciences) 2024年第5期67卷 302-310页

作者： Jieyuan LIANG Zixing ZOU Junwu LIANG Di wang Biao wang Anshi CHU Jiali YI Cheng {2. Lizhen FANG Tian {2. Huawei LIU Xiaoli ZHU Dong LI Anlian PAN Key Laboratory for Micro-Nano Physics and technology of Hunan Province State Key Laboratory of Chemo/Biosensing and Chemometrics Hunan Institute of Optoelectronic IntegrationCollege of Materials Science and Engineering School of Physics and ElectronicsHunan University school of Electronic information and{2. engineering Changsha University school of Physics and Telecommunication engineering Yulin Normal University Units Semiconductor technology Co. Ltd. school of Physics and Electronics Hunan Normal University

Bilayer transition metal dichalcogenides（TMDs） balance the high mobility of single layers with the high state density of multilayers and therefore have promising application prospects in high-performance electronics. However, the layer-controlled growth of 2. materials is still confronted with challenges such as poor repeatability between different labs and a limited understanding of the growth mechanism at the atomic scale. Herein, we report a new carbon-assisted chemical vapor deposition process that can realize the growth of WS2.heets with high yield, precise thickness controllability, and repeatability. We show that carbon can act as a reducing agent and catalyst that preferentially reacts with the WO3precursor to form intermediate WO3-xproducts with low-valence state W. The resulting oxycarbide gas has a low surface adsorption energy when deposited on the surface of as-grown WS2. which provides nucleation sites for the subsequent layer of WS2.rowth and leads to the vertical growth of WS2.heets. The growth mechanism is thoroughly investigated. electrical transport measurements show that the produced bilayer WS2.ossesses a high carrier mobility(up to 58 cm2.V-1·s-1) and small subthreshold swing（estimated to be 148 mV/decade）,which are among the best reported results for TMDs produced using CVD.

关键词： WS2 thickness-controlled growth chemical vapor deposition additive carbon

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Enhanced quality of Al2.3/SiC gate stack via microwave plasma annealing

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Rare Metals 2024年第10期43卷 5362-5371页

作者： Nan-Nan You Xin-Yu Liu Qian zhang Zhen wang Jia-Yi wang Yang Xu Xiu-Yan Li Yu-Zheng Guo Sheng-Kai wang High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of Microelectronics of the Chinese Academy of Sciences school of Integrated Circuits University of Chinese Academy of Sciences school of electrical{2. and Automation Wuhan University Department of Micro/Nano Electronics School of Electronic Information and Electrical EngineeringShanghai Jiao Tong University

The high-quality gate dielectric on silicon carbide （SiC） surface is critical to fabricate high-performance SiC metal-oxide-semiconductor field-effect transistors（MOSFETs）.This research employs microwave plasma annealing （MPA） to obtain high-quality Al2.3/SiC gate *** designing MPA atmosphere and optimizing the plasma power,the SiC MOS capacitor with a Al2.3dielectric film shows the enhanced *** interface state density is reduced by 1 order of magnitude to 6×1011cm-2.eV-1,the breakdown electric field is increased,and the voltage shift is effectively suppressed Besides,the mechanism of MPA process is discussed in terms of the thermal effect and reactant species.X-ray photoelectron spectroscopy （XPS） results unveil oxygen plasma plays the main *** plasma power during the MPA process results in defect repairs of the firstneighbor Al-O bonding and partial removal of Al-O-H bond from the interface *** study demonstrates that MPA process is an effective option to realize highquality dielectric and interface on SiC.

关键词： Al2.3 Defect repairs Metal–oxide–semiconductor Microwave plasma annealing Silicon carbide X-ray photoelectron spectroscopy

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The Roadmap of 2. Materials and Devices Toward Chips

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Nano-Micro Letters 2024年第6期16卷 343-438页

作者： Anhan Liu Xiaowei zhang Ziyu Liu Yuning Li Xueyang Peng Xin Li Yue Qin Chen Hu Yanqing Qiu Han Jiang Yang wang Yifan Li Jun Tang Jun Liu Hao Guo {2. Deng Songang Peng He Tian Tian‑Ling Ren school of Integrated Circuits and Beijing National Research Center for information Science and{2.(BNRist) Tsinghua UniversityBeijing 100049People’s Republic of China school of Microelectronics Fudan UniversityShanghai 200433People’s Republic of China State Key Laboratory of Dynamic Measurement technology Shanxi Province Key Laboratory of Quantum Sensing and Precision MeasurementNorth University of ChinaTaiyuan 030051People’s Republic of China High‑Frequency High‑Voltage Device and Integrated Circuits R&D Center Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029People’s Republic of China school of Electronic and information{2. Beijing Jiaotong UniversityBeijing 100044People’s Republic of China school of Integrated Circuits University of Chinese Academy of SciencesBeijing 100049People’s Republic of China IMECAS-HKUST-Joint Laboratory of Microelectronics Beijing 100029People’s Republic of China

Due to the constraints imposed by physical effects and performance degra certain limitations in sustaining the advancement of Moore’s ***-dimensional(2.)materials have emerged as highly promising candidates for the post-Moore era,offering significant potential in domains such as integrated circuits and next-generation ***,in this review,the progress of 2. semiconductors in process engineering and various electronic applications are summarized.A careful introduction of material synthesis,transistor engineering focused on device configuration,dielectric engineering,contact engineering,and material integration are given *** 2. transistors for certain electronic applications including digital and analog circuits,heterogeneous integration chips,and sensing circuits are ***,several promising applications(artificial intelligence chips and quantum chips)based on specific mechanism devices are ***,the challenges for 2. materials encountered in achieving circuit-level or system-level applications are analyzed,and potential development pathways or roadmaps are further speculated and outlooked.

关键词： Two-dimensional materials Roadmap Integrated circuits Post-Moore era

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An Improved Learning with Local and Global Consistency

An Improved Learning with Local and Global Consistency

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2.10 Chinese Control and Decision Conference

作者： Ming Li,Xiaoli zhang,Xuesong wang {2. of {2. and electrical engineering,China university of mining and technology,xuzhou,Jiangsu 2.1116 China

Learning with local and global consistency(LLGC) algorithm can effectively label a data,but it is helpless for noise *** reason is that the LLGC algorithm will predict a label for each unlabelled data without taking into account whether a data has noise or *** at the deficiency of the LLGC algorithm,an improved version for semi-supervised learning algorithm with local and global consistency is proposed in this *** first,we compute the similarity of each data to all *** then the data can be ascribed to one class according to its *** improved LLGC algorithm not only can label data as the conventional LLGC,but also can identify noise existed in data set *** results show that the improved LLGC algorithm can effectively avoid noise data being viewed as normal data.

关键词： Semi-supervised learning Learning with local and global consistency Graph Similarity Noise data

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